purrr :: pmap与rlang的混淆行为; "引用"或不引用Q的论点

Question

我有一个自定义函数,我正在从数据框中读取输入的变量rlang.无论输入的参数是引用还是不引用,此函数都可以正常工作.但是,奇怪的是,当使用此函数时purrr::pmap,它仅在引用参数时起作用.

所以我有两个问题:

1. 为什么函数行为这样？

2. 如何使用rlang这样一个函数,即使用于我也不必引用参数purrr::pmap？

这是一个使用简单函数突出显示此问题的最小代表:

# loading the needed libraries
library(rlang)
library(dplyr)
library(purrr)


# defining the function
tryfn <- function(data, x, y) {
  data <-
    dplyr::select(
      .data = data,
      x = !!rlang::enquo(x),
      y = !!rlang::enquo(y)
    )

  # creating a dataframe of means
  result_df <- data.frame(mean.x = mean(data$x), mean.y = mean(data$y))

  # return the dataframe
  return(result_df)
}

# without quotes (works!)
tryfn(iris, Sepal.Length, Sepal.Width)
#>     mean.x   mean.y
#> 1 5.843333 3.057333

# with quotes (works!)
tryfn(iris, "Sepal.Length", "Sepal.Width")
#>     mean.x   mean.y
#> 1 5.843333 3.057333

# pmap without quotes (doesn't work)
purrr::pmap(.l = list(
  data = list(iris, mtcars, ToothGrowth),
  x = list(Sepal.Length, wt, len),
  y = list(Sepal.Width, mpg, dose)
),
.f = tryfn)
#> Error in is.data.frame(.l): object 'Sepal.Length' not found

# pmap with quotes (works!)
purrr::pmap(.l = list(
  data = list(iris, mtcars, ToothGrowth),
  x = list("Sepal.Length", "wt", "len"),
  y = list("Sepal.Width", "mpg", "dose")
),
.f = tryfn)
#> [[1]]
#>     mean.x   mean.y
#> 1 5.843333 3.057333
#> 
#> [[2]]
#>    mean.x   mean.y
#> 1 3.21725 20.09062
#> 
#> [[3]]
#>     mean.x   mean.y
#> 1 18.81333 1.166667

由reprex包(v0.2.0)于2018-05-21创建.

Answer 1

问题是：R 看到了Sepal.Length, wt, len符号，因此它尝试在当前环境中查找并评估它们。当然，它会导致错误，因为它们是数据框的列。当您引用它们时，R 不会尝试计算并返回值，因为它将这些值视为字符串。

如果你替换list为base::alistordplyr::vars或rlang::exprs，它应该可以工作

注意：由于我们已经引用了输入，因此我们不再需要使用rlang::enquoinside tryfn。

# loading the needed libraries
library(rlang)
library(tidyverse)

# defining the function
tryfn <- function(data, x, y) {
  data <-
    dplyr::select(
      .data = data,
      x = !! x,
      y = !! y
    )

  # creating a data frame of means
  result_df <- data.frame(mean.x = mean(data$x), mean.y = mean(data$y))

  # return the data frame
  return(result_df)
}

# alist handles its arguments as if they described function arguments. 
# So the values are not evaluated, and tagged arguments with no value are 
# allowed whereas list simply ignores them. 

purrr::pmap(.l = list(
  data = list(iris, mtcars, ToothGrowth),
  x    = alist(Sepal.Length, wt, len),
  y    = alist(Sepal.Width, mpg, dose)
),
.f = tryfn)

#> [[1]]
#>     mean.x   mean.y
#> 1 5.843333 3.057333
#> 
#> [[2]]
#>    mean.x   mean.y
#> 1 3.21725 20.09062
#> 
#> [[3]]
#>     mean.x   mean.y
#> 1 18.81333 1.166667


purrr::pmap(.l = list(
  data = list(iris, mtcars, ToothGrowth),
  x    = dplyr::vars(Sepal.Length, wt, len),
  y    = dplyr::vars(Sepal.Width, mpg, dose)
),
.f = tryfn)

#> [[1]]
#>     mean.x   mean.y
#> 1 5.843333 3.057333
#> 
#> [[2]]
#>    mean.x   mean.y
#> 1 3.21725 20.09062
#> 
#> [[3]]
#>     mean.x   mean.y
#> 1 18.81333 1.166667

purrr::pmap(.l = list(
  data = list(iris, mtcars, ToothGrowth),
  x    = rlang::exprs(Sepal.Length, wt, len),
  y    = rlang::exprs(Sepal.Width, mpg, dose)
),
.f = tryfn)

#> [[1]]
#>     mean.x   mean.y
#> 1 5.843333 3.057333
#> 
#> [[2]]
#>    mean.x   mean.y
#> 1 3.21725 20.09062
#> 
#> [[3]]
#>     mean.x   mean.y
#> 1 18.81333 1.166667

由reprex 包(v0.2.0)于 2018-05-21 创建。